Introduction When it comes to measuring binary classifier, Receiver Operating Characteristic or also known to be ROC curve is a very efficient way of measuring the performance of a binary classifier system. A binary classifier system is a classifier that classify an observation to 2 classes. For …

Introduction Automation for Applying Jobs With Linkedin is the perfect tool for quickly and easily applying job offers to your LinkedIn profile. Just a lines of code and you’re ready to go! Plus, Python makes the automation process a breeze. In this article, we’ll show you how to get started …

Introduction Hi everyone! This time, we will discuss about the key differences between LDA and QDA. Both LDA and QDA are classification algorithms that are very attractive because there are no parameters to tune. However, LDA and QDA assumes that the classes we are classifying are derived from a …

Motivation Imagine having the power to extract any data you want from the internet. Every website’s data to be at your fingertips. A very useful power wouldn’t you agree? For those who are not aware, you can learn this power for your self ! this is called Web Scraping. Whether you are a …

Introduction In this blog post, I will share how I created an index for recently funded start-ups from anywhere around the world using a combination of webscraping and multiple no-code, low-code tools. This is not used for commercial purposes, and this post is not meant to be treated as a tutorial …